no code implementations • 24 Mar 2014 • Jason Gejie Liu, Shuchin Aeron
Nonnegative matrix factorization (NMF) has been shown to be identifiable under the separability assumption, under which all the columns(or rows) of the input data matrix belong to the convex cone generated by only a few of these columns(or rows) [1].
no code implementations • 8 Jan 2014 • Jason Gejie Liu, Shuchin Aeron
A robust algorithm for non-negative matrix factorization (NMF) is presented in this paper with the purpose of dealing with large-scale data, where the separability assumption is satisfied.